Reference documentation for deal.II version 9.3.3
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Classes | Public Types | Public Member Functions | List of all members
TrilinosWrappers::PreconditionILUT Class Reference
Linear algebra classes | Linear algebra classes » Matrix classes » Basic matrices | Linear algebra classes » Sparsity patterns | Linear algebra classes » Vector classes | Linear algebra classes | Linear algebra classes » Matrix classes » Preconditioners and Relaxation Operators » Exceptions and assertions » TrilinosWrappers | Linear algebra classes | Linear algebra classes » Matrix classes » Preconditioners and Relaxation Operators

#include <deal.II/lac/trilinos_precondition.h>

Inheritance diagram for TrilinosWrappers::PreconditionILUT:
[legend]

Classes

struct  AdditionalData
 

Public Types

using size_type = ::types::global_dof_index
 

Public Member Functions

void initialize (const SparseMatrix &matrix, const AdditionalData &additional_data=AdditionalData())
 
void clear ()
 
MPI_Comm get_mpi_communicator () const
 
void transpose ()
 
virtual void vmult (MPI::Vector &dst, const MPI::Vector &src) const
 
virtual void vmult (::Vector< double > &dst, const ::Vector< double > &src) const
 
virtual void vmult (::LinearAlgebra::distributed::Vector< double > &dst, const ::LinearAlgebra::distributed::Vector< double > &src) const
 
virtual void Tvmult (MPI::Vector &dst, const MPI::Vector &src) const
 
virtual void Tvmult (::Vector< double > &dst, const ::Vector< double > &src) const
 
virtual void Tvmult (::LinearAlgebra::distributed::Vector< double > &dst, const ::LinearAlgebra::distributed::Vector< double > &src) const
 
Access to underlying Trilinos data
Epetra_Operator & trilinos_operator () const
 

Partitioners

IndexSet locally_owned_domain_indices () const
 
IndexSet locally_owned_range_indices () const
 
Teuchos::RCP< Epetra_Operator > preconditioner
 
Epetra_MpiComm communicator
 
std::shared_ptr< Epetra_Map > vector_distributor
 
static ::ExceptionBase & ExcNonMatchingMaps (std::string arg1)
 

Subscriptor functionality

Classes derived from Subscriptor provide a facility to subscribe to this object. This is mostly used by the SmartPointer class.

void subscribe (std::atomic< bool > *const validity, const std::string &identifier="") const
 
void unsubscribe (std::atomic< bool > *const validity, const std::string &identifier="") const
 
unsigned int n_subscriptions () const
 
template<typename StreamType >
void list_subscribers (StreamType &stream) const
 
void list_subscribers () const
 
template<class Archive >
void serialize (Archive &ar, const unsigned int version)
 
static ::ExceptionBase & ExcInUse (int arg1, std::string arg2, std::string arg3)
 
static ::ExceptionBase & ExcNoSubscriber (std::string arg1, std::string arg2)
 
using map_value_type = decltype(counter_map)::value_type
 
using map_iterator = decltype(counter_map)::iterator
 
std::atomic< unsigned int > counter
 
std::map< std::string, unsigned int > counter_map
 
std::vector< std::atomic< bool > * > validity_pointers
 
const std::type_info * object_info
 
static std::mutex mutex
 
void check_no_subscribers () const noexcept
 

Detailed Description

A wrapper class for a thresholded incomplete LU factorization (ILU-T) preconditioner for Trilinos matrices. This preconditioner works both in serial and in parallel, depending on the matrix it is based on. In general, an incomplete factorization does not take all fill-in elements that would appear in a full factorization (that is the basis for a direct solve). For the ILU-T preconditioner, the parameter ilut_drop lets the user specify which elements should be dropped (i.e., should not be part of the incomplete decomposition). Trilinos calculates first the complete factorization for one row, and then skips those elements that are lower than the threshold. This is the main difference to the non- thresholded ILU preconditioner, where the parameter ilut_fill governs the incomplete factorization structure. This parameter is available here as well, but provides only some extra information here.

The AdditionalData data structure allows to set preconditioner options. Besides the fill-in arguments, these options are some options for perturbations (see the documentation of the AdditionalData structure for details), and a parameter overlap that determines if and how much overlap there should be between the matrix partitions on the various MPI processes. The default settings are 0 for the additional fill-in, 0 for the absolute augmentation tolerance, 1 for the relative augmentation tolerance, 0 for the overlap.

Note that a parallel application of the ILU-T preconditioner is actually a block-Jacobi preconditioner with block size equal to the local matrix size. Spoken more technically, this parallel operation is an additive Schwarz method with an ILU approximate solve as inner solver, based on the (outer) parallel partitioning.

Definition at line 1087 of file trilinos_precondition.h.

The documentation for this class was generated from the following files:
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